<i>Viscum monoicum</i>: A New Source of Polyphenolic Compounds Responsible for Antioxidant and Anti-Inflammatory Activities
Bibliographic record
Abstract
Viscum monoicum has been used as a traditional medicinal plant for the treatment of many ailments that include pain, neuropharmacological disorders as well as various types of tumors. This study was designed to investigate the polyphenolic compound, antioxidant, and anti-inflammatory activities of the ethanolic extract of Viscum monoicum (EVM). The extract was subjected to HPLC-DAD analysis for the quantification of polyphenols. In addition, DPPH, ABTS free radical scavenging, reducing power, total antioxidant capacity, phenolic, and flavonoid content was measured for antioxidant activities of EVM. Besides, the anti-inflammatory activity of EVM was studied using carrageenan and histamine-induced rat paw edema at different doses. High levels of ellagic acid and (+)-catechin hydrate (410.15 and 340.88 mg/100 g extract, respectively) were determined for the first time through HPLC in EVM. IC50 of EVM was significant in DPPH and ABTS scavenging assay compared to that of ascorbic acid. The total antioxidant capacity, total phenolic, and total flavonoid contents were estimated and found significant amount equivalent to standard. At a dose of 400 mg kg−1, a significant anti-inflammatory activity (P<0.01) was observed in rats at both carrageenan and histamine-induced edema test models with a reduction in the paw volume; in comparison to indomethacin. Therefore, the results suggest that polyphenolic compounds might be responsible for the antioxidant and anti-inflammatory activities of EVM.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".